🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.
AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models
Synthora is a lightweight, extensible framework for LLM-driven agents and ALM research. It provides the essential components to build, test, and evaluate agents, enabling you to assemble an agent with a single configuration file. Our goal is to minimize effort while delivering robust functionality.
[CVPR 2026] TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size
[ICML 2025] Official Code of SMPE: "Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration"
Cooperation and Fairness in Multi-Agent Reinforcement Learning
Exploring techniques to generate diverse conventions in multi-agent settings
machine learning for blockchain
Carbon-Silicon Symbiotic Civilization: 碳基-硅基-共生文明的理论框架与行动纲领。
CCNETS is uniquely crafted to emulate brain-like information processing and comprises three main components: explainer, producer, and reasoner. Each component is designed to mimic specific brain functions, which aids in generating high-quality datasets and enhancing the classification performance
Cooperative multi-agent controller for Pokémon Showdown multi battles with CTDE training, intent exchange, benchmarks, and replay analysis.
Camel AI context pack for Claude Code, Codex, Cursor, and Aider: AGENTS.md, CLAUDE.md, prompts, evals, pitfalls, and verification notes for camel-ai/camel.
Multi-agent elevator dispatch with QR-DQN and CTDE (Centralised Training, Decentralised Execution) in PyTorch. Three cooperative elevators trained with dueling networks, prioritised replay, and a centralised critic — beating ETA-Dispatch by 27% wait and 9.6% energy across 3,500 episodes on a non-uniform 10-floor traffic environment.
A research programme on cross-class governance for humans, advanced AI systems, and ecological systems — hub paper + preprint.
Coordinated multi-agent systems that learn to solve complex collaborative and competitive tasks.
A PettingZoo-compatible MARL environment designed to benchmark multi-agent coordination under strict sequential causal dependencies and partial observability.
Portfolio, works in progress, musings
Reproducible testbed for partial-information program equilibrium with LLM agents — εGroundedπBot, multi-game, multi-provider OpenAI-compatible (NVIDIA NIM / Cerebras / Groq / Ollama).
RTS game development (like starcraft, AOE1) in Java
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